Preface: NVIDIA NeMo is a widely adopted, end-to-end framework for building, customizing, and deploying generative AI models (LLMs) and conversational AI agents. It is primarily used to tailor open-source models—such as Llama, Mistral, and Google Gemma—using proprietary enterprise data. Ollama, Mistral, and Google Gemma represent a powerful ecosystem for running local, open-weight Large Language Models…

Preface: A design limitation has been discovered in the ONNX quantization function of the NVIDIA model optimizer for Windows and Linux. However, confusingly, the ONXY function appears to only work on Windows/RTX (not Linux). What is the actual design limitation? A sophisticated technical question. The confusion often stems from the fact that while ONNX is…

Preface: The core design goal of NVIDIA Apex is to achieve mixed precision training, which mainly involves a combination of **16-bit (FP16)** and **32-bit (FP32)**. Background: In NVIDIA APEX, handling FP16 and FP32 data is primarily managed through the Automatic Mixed Precision (AMP) module. You don’t need to manually cast your data. Current Gold Standard…

Preface: NVIDIA InfiniBand switches are based on technology from Mellanox Technologies. Nvidia Spectrum switches are based on technology from Mellanox Technologies. The Spectrum switch ASIC portfolio, originally developed by Mellanox for high-performance Ethernet networking, was rebranded under Nvidia and is now a core component of Nvidia’s networking division. NVIDIA completed the acquisition of Mellanox Technologies,…

Preface: AMD-SB-3042 is a formal advisory for a specific vulnerability, while AMD-SB-3043 is an advisory regarding an analytical tool (SNPeek) used to detect such vulnerabilities. Background: If AMD zen5 operating AMD SEV-SNP, traditional hypervisor especially VMware or Hyper-V management include encryption will handle by hypervisor embedded in Xen5, so SNPeek collect the traffic is un-encrypted…

Preface: Artificial intelligence is both harmful and beneficial. Why is it harmful? Fundamentally, it reduces opportunities for low-skilled jobs. Speakers chant slogans like “Smart living, increased productivity.” However, its underlying problems seem difficult to conceal, so you can learn about the latest developments in artificial intelligence from online newspapers and articles. Today, when you seek…

Preface: NeMo 2.0 is NVIDIA’s major modernization of the NeMo ecosystem. Two things to remember about NeMo 2.0: 1. NeMo 2.0 is the training & model building framework. It focuses on: •               Model architectures (LLMs, ASR, TTS, multimodal) •               Training pipelines •               NeMo Run + NeMo-based microservices •               Distributed GPU/accelerated workflows 2. NeMo Guardrails and…

Preface: Janet has a small footprint: it fits in environments where 2.5 MB of RAM is considered “plenty”. While Janet does not run on the GPU (it is a CPU-bound language), it is often used as the control/orchestration layer on heterogeneous AI platforms. Because Janet is written in C and compiles to a small binary…

Preface: Microsoft has launched several products (Semantic Kernel, Microsoft.Extensions.AI, and Azure.OpenAI), which initially caused confusion for developers. Furthermore, the Semantic Kernel is currently being “upgraded” to the new Microsoft Agent Framework, leading some developers to question future support for the Semantic Kernel. Python, with its rich libraries and large open-source community, remains the “universal language”…